Model comparison
GPT-5.6 Terra vs Yi-Lightning
GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 37.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. GPT-5.6 Terra scores higher in 8 categories and Yi-Lightning in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.6 Terra leads 81.6 to 36.2.
Side by side
| GPT-5.6 Terra | Yi-Lightning | |
|---|---|---|
| Provider | OpenAI | 01.AI |
| Noometry Index | 59.2 | 37.1 |
| Released | 2026-07-09 | 2024-12-02 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $12 | — |
| Results tracked | 52 | 18 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5.6 Terra leads
GPT-5.6 Terra: 57.7 (#19), Yi-Lightning: 27.4 (#320)
| Benchmark | GPT-5.6 Terra | Yi-Lightning |
|---|---|---|
| LMArena Coding | 1484 | 1312 |
| DeepSWE | 69.6% | — |
| FrontierCode | 41.3% | — |
| Aider Polyglot | — | 12.9% |
| CursorBench | 41.3% | — |
| LMArena WebDev | 1522 | — |
| SciCode | 55% | — |
| WeirdML | 78.3% | — |
| ALE-Bench | 1,951 | — |
Agentic & Tool Use Not comparable
GPT-5.6 Terra: 40.1 (#25), Yi-Lightning: —
| Benchmark | GPT-5.6 Terra | Yi-Lightning |
|---|---|---|
| APEX-Agents | 58.2% | — |
| BALROG | 53.2% | — |
| GDP.pdf | 24.7% | — |
| Vending-Bench 2 | 7,343 | — |
Reasoning GPT-5.6 Terra leads
GPT-5.6 Terra: 60.7 (#21), Yi-Lightning: 25.9 (#139)
| Benchmark | GPT-5.6 Terra | Yi-Lightning |
|---|---|---|
| LMArena Hard Prompts | 1468 | 1302 |
| ARC-AGI-2 | 83.9% | — |
| SimpleBench | 48.9% | — |
| Kagi LLM Benchmark | 51.3% | — |
| NYT Connections (extended) | 78.4% | — |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30% | — |
| Chess Puzzles | 54% | — |
| Mystery Game Puzzles | 35% | — |
| DTBench | 93.3% | — |
| LMCA | 55% | — |
| Surface Evolver Bench | 83.8% | — |
| Epoch Capabilities Index | 159.62 | — |
Math GPT-5.6 Terra leads
GPT-5.6 Terra: 81.6 (#12), Yi-Lightning: 36.2 (#172)
| Benchmark | GPT-5.6 Terra | Yi-Lightning |
|---|---|---|
| LMArena Math | 1466 | 1300 |
| FrontierMath (Tiers 1-3) | 86% | — |
| FrontierMath Tier 4 | 70.7% | — |
| OTIS Mock AIME 2024-2025 | 99.7% | — |
| ProofBench | 74% | — |
Knowledge GPT-5.6 Terra leads
GPT-5.6 Terra: 61.2 (#30), Yi-Lightning: 35.4 (#185)
| Benchmark | GPT-5.6 Terra | Yi-Lightning |
|---|---|---|
| LMArena Expert | 1492 | 1286 |
| GPQA Diamond | 93.3% | — |
| SimpleQA Verified | 43.2% | — |
Multimodal Not comparable
GPT-5.6 Terra: 47.3 (#11), Yi-Lightning: —
| Benchmark | GPT-5.6 Terra | Yi-Lightning |
|---|---|---|
| LMArena Vision | 1271 | — |
| Blueprint-Bench 2 | 30.8% | — |
| Furniture Assembly | 54.2% | — |
| LMArena Document | 1472 | — |
Multilingual GPT-5.6 Terra leads
GPT-5.6 Terra: 54.4 (#44), Yi-Lightning: 42.2 (#196)
| Benchmark | GPT-5.6 Terra | Yi-Lightning |
|---|---|---|
| LMArena Non-English | 1439 | 1269 |
| LMArena Chinese | 1513 | 1320 |
| LMArena French | 1471 | 1305 |
| LMArena German | 1460 | 1267 |
| LMArena Japanese | 1457 | 1228 |
| LMArena Korean | 1425 | 1192 |
| LMArena Russian | 1450 | 1255 |
| LMArena Spanish | 1448 | 1315 |
Instruction Following GPT-5.6 Terra leads
GPT-5.6 Terra: 76.4 (#40), Yi-Lightning: 67.4 (#196)
| Benchmark | GPT-5.6 Terra | Yi-Lightning |
|---|---|---|
| LMArena Instruction Following | 1454 | 1278 |
Long Context GPT-5.6 Terra leads
GPT-5.6 Terra: 44.4 (#68), Yi-Lightning: 39.4 (#181)
| Benchmark | GPT-5.6 Terra | Yi-Lightning |
|---|---|---|
| LMArena Longer Query | 1451 | 1297 |
Writing & Preference GPT-5.6 Terra leads
GPT-5.6 Terra: 70.2 (#23), Yi-Lightning: 50.2 (#184)
| Benchmark | GPT-5.6 Terra | Yi-Lightning |
|---|---|---|
| LMArena Text | 1447 | 1302 |
| LMArena Creative Writing | 1410 | 1280 |
| LMArena Multi-Turn | 1449 | 1311 |
| EQ-Bench Creative Writing | 1855 | — |
| EQ-Bench 4 | 1234 | — |
Frequently asked questions
Is GPT-5.6 Terra better than Yi-Lightning?
GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 37.1 on the Noometry Index.
Is GPT-5.6 Terra or Yi-Lightning better for coding?
GPT-5.6 Terra scores higher on coding benchmarks: 57.7 versus 27.4 in the Noometry coding category.
How many benchmarks do GPT-5.6 Terra and Yi-Lightning share?
17 benchmarks have published results for both models. GPT-5.6 Terra has 52 scored results on Noometry and Yi-Lightning has 18.